Triple

T21292706
Position Surface form Disambiguated ID Type / Status
Subject Of Love and Shadows (film) E524835 entity
Predicate director P255 FINISHED
Object Betty Kaplan NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Betty Kaplan | Statement: [Of Love and Shadows (film), director, Betty Kaplan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betty Kaplan
Context triple: [Of Love and Shadows (film), director, Betty Kaplan]
  • A. Betty Kaplan chosen
    Betty Kaplan is a film director and screenwriter best known for adapting literary works, including Isabel Allende’s novel "Of Love and Shadows," for the screen.
  • B. Betty Schneider
    Betty Schneider is a French actress best known for her leading role in Jacques Rivette’s influential New Wave film "Paris Belongs to Us."
  • C. Betty Reinhardt
    Betty Reinhardt was a screenwriter best known for her work on the classic 1944 film noir "Laura."
  • D. Arlene Sarner
    Arlene Sarner is a film and television screenwriter best known for co-writing the 1980s hit romance drama "Baby Boom" and other Hollywood projects, often in collaboration with her partner Greg Beeman.
  • E. Betty Haas
    Betty Haas is known as the former wife of American politician and longtime U.S. Senator Joe Lieberman.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73855e5d08190aed5e285247b4e23 completed April 21, 2026, 8:41 a.m.
Created at: April 16, 2026, 4:04 p.m.